SlideShare a Scribd company logo
1 of 19
What is it like to work for Microsoft?
James Serra, Big Data Evangelist
Microsoft
May 7-9, 2014 | San Jose, CA
About Me
 Business Intelligence Consultant, in IT for 28 years
 Microsoft, Big Data Evangelist
 Owner of Serra Consulting Services, specializing in end-to-end Business Intelligence and Data
Warehouse solutions using the Microsoft BI stack
 Worked as desktop/web/database developer, DBA, BI and DW architect and developer, MDM
architect, PDW developer
 Been perm, contractor, consultant, business owner
 Presenter at PASS Business Analytics Conference and PASS Summit
 MCSE for SQL Server 2012: Data Platform and BI
 SME for SQL Server 2012 certs
 Contributing writer for SQL Server Pro magazine
 Blog at JamesSerra.com
 SQL Server MVP
 Author of book “Reporting with Microsoft SQL Server 2012”
Agenda
 My background, reasons to join
 Interview process
 Microsoft structure
 A day in the life of my job
 Internal job opportunities
 Salary and benefits
 Culture
 Qualities needed
 Internal resources
 In closing
It all started when a friend of mine at Microsoft called and said “We have a job opening at Microsoft I think you would
be good for, but it would require a move to NYC. I know it’s unlikely but any chance you would consider?”
17 days later I was a Microsoft employee
My background and reasons to join
• My work history and how it helped me get hired
• Research the position
• Job description
• Reasons to join
• Job location
• Family situation
• Job details
• Career paths
• Tired of project work
• It’s Microsoft!
• Concerns: income, keeping up technical skills, sales, corporate world
Interview process
• Recruiter
• Phone interviews
• In-person interviews
• Offer
• Time to start learning: Drinking from the fire hose
• Into the fire You will feel this way for the first 6 months…
I hope I don’t end up like this…
But I ended up more like this…
Microsoft structure
• Incubation
• Districts/Field
• Sales and services
• Geography
• Job descriptions
• Partners, MCS
• MTC
A day in the life of my job
• Small business within Microsoft
• Work from home with travel to clients
• No time tracking – you are in charge of your own time
• Set your own priorities
• Time spent each day:
• Presentations with customers – 25%
• Customer calls – 25%
• Internal meetings, internal sales calls, conferences, training, career path – 20%
• Travel – 10%
• POCs/customer demos – 10%
• Learning – 10% to forever
Internal job opportunities
• Career guidance/Connect: Manager helps you leave his group
• Mentors
• Switching jobs
• Create your own job
• Client-facing vs internal Microsoft IT
Salary and Benefits
• PTO, Medical, 401k
• Stay fit
• Laptop and toys
• Tuition assistance
• AmEx card
• Quotas
• Yearly review/bonus
• Pulse survey
• Charity – Microsoft employees raised $142 million in 2016 in support of 19k nonprofits and
schools. Since 1983 provided $8.5 billion in cash, services and software to nonprofits
around the world
Culture
(from a 17-year Microsoft veteran)
Good
• Entrepreneurial spirit
• Generally hard working, generally try to do the right thing, not perfect
• Truly believe we can use technology to improve people’s lives and work
• Very self critical / always looking to improve / MS Poll – we take it seriously
• N-1 model… if the job needs 5 people, we’ll hire 4 and let them figure it out
• Frugal (Weenies, not Shrimp – see attached..)
• Very serious about diversity, both in physical characteristics as well as thought
• Dogfooding! Always latest tech, everyone’s an admin on their box, can rebuild at will, etc
Bad
• Meetings to prepare for meetings about meetings
• Corporate politics, just like any other large companies
• Corporate Buzzword bingo! (“all in”, “all up”, “lean in”, “pivot”, “net net”… ugh!)
• Cannibalizing
• Left hand does not know what the right hand is doing
• Dogfooding! (can be a little unstable)
Ugly
• Quarterly/Fiscal results focus can make us do stupid things (common in public companies)
• Dogfooding! (damn the torpedoes! Full speed ahead with the latest win 10 build!)
Qualities needed
• Solid background
• Ability to learn quick
• Customer-facing skills
• Love to learn
• Disciplined, trustworthy, self-motivator, go-getter, work on own, flexible
• Not easily overwhelmed
• Not a clock puncher
• Drink the Kool-Aid
• Be comfortable being uncomfortable
• Don’t need structure or micro-managing
• Avoid being too consumed
Don’t sit still…
Internal Resources
• Lots of sharp people
• Finding the people
• Internal videos (academy), white papers, documents, competitor info
• TechReady, S4
• Microsoft Elite - Dogfood
• Field alerts, NDA web conferences
• Ask!
Testimonial
When I joined Microsoft almost nine years ago, I couldn’t have imagined the lessons I’d learn. When I left silicon valley, my colleagues at
the time were dubious. Microsoft seemed to them an incomprehensible place--a relic of the PC world. They would ask, what do they
have besides Windows and Office?
Looking back, I would answer the curious: Where else can you see some of the best technology and business minds, working side by
side? Startups may sell to the first 100 customers in a limited sphere, but Microsoft gives you the global picture. You have a chance to
touch the entire world. Where else can you work on products used in the far reaches of the planet, go to an international subsidiary and
work in a different country, then come back and work with the finest database minds on the planet? When my kids would tell their
friends, “My dad works at Microsoft,” it meant something even to their limited experience.
What makes Microsoft special? It has the brightest business minds in the world: Where else can you grow a multi-billion dollar business
double digits year over year. It has the brightest engineers in the world: Where else can you run software used by every business in the
world. There are lessons here you can only learn at a place like Microsoft, and could never imagine at a startup. How many multi-national
software companies are there with the number of real thriving businesses found here? Not many. Now, it feels like every week I hear
from someone new, “I like what I see Microsoft doing.. it’s amazing what’s happened in the last year.”
16
In closing
• Concerns?: income, keeping up technical skills, sales, corporate world
• Be aware of shiny objects!
• We are all selling
• Promote yourself
• Your success depends on how hard you want to work
• Make tons of contacts
• Tons of career opportunities
Bottom line…best company I have ever worked for!
Resources
• Why I just became a Microsoft employee http://bit.ly/1IG8unT
Q & A ?
James Serra, Big Data Evangelist
Email me at: JamesSerra3@gmail.com
Follow me at: @JamesSerra
Link to me at: www.linkedin.com/in/JamesSerra
Visit my blog at: JamesSerra.com (where this slide deck will be posted)

More Related Content

What's hot

Dedicated Offshore Development Centers: a popular trend in outsourcing
Dedicated Offshore Development Centers: a popular trend in outsourcingDedicated Offshore Development Centers: a popular trend in outsourcing
Dedicated Offshore Development Centers: a popular trend in outsourcingSoftheme
 
Microsoft Azure Active Directory
Microsoft Azure Active DirectoryMicrosoft Azure Active Directory
Microsoft Azure Active DirectoryDavid J Rosenthal
 
Azure data platform overview
Azure data platform overviewAzure data platform overview
Azure data platform overviewJames Serra
 
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsBuilding the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsKhalid Salama
 
SQL Server 2019 Master Data Service
SQL Server 2019 Master Data ServiceSQL Server 2019 Master Data Service
SQL Server 2019 Master Data ServiceKenichiro Nakamura
 
Data Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshData Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshJeffrey T. Pollock
 
A 30 day plan to start ending your data struggle with Snowflake
A 30 day plan to start ending your data struggle with SnowflakeA 30 day plan to start ending your data struggle with Snowflake
A 30 day plan to start ending your data struggle with SnowflakeSnowflake Computing
 
Data Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWSData Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWSDenodo
 
Assessing Your Company's Cloud Readiness
Assessing Your Company's Cloud ReadinessAssessing Your Company's Cloud Readiness
Assessing Your Company's Cloud ReadinessAmazon Web Services
 
Implementation and Post Go Live Managed Services
Implementation and Post Go Live Managed Services   Implementation and Post Go Live Managed Services
Implementation and Post Go Live Managed Services Amit Panchal
 
Understanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityUnderstanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityDevOps.com
 
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo
 
Cloud Migration: Cloud Readiness Assessment Case Study
Cloud Migration: Cloud Readiness Assessment Case StudyCloud Migration: Cloud Readiness Assessment Case Study
Cloud Migration: Cloud Readiness Assessment Case StudyCAST
 
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesPutting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesDATAVERSITY
 
Staff Augmentation
Staff AugmentationStaff Augmentation
Staff AugmentationTVS Next
 
Emerging Trends in Data Engineering
Emerging Trends in Data EngineeringEmerging Trends in Data Engineering
Emerging Trends in Data EngineeringAnanth PackkilDurai
 
Data Warehousing Trends, Best Practices, and Future Outlook
Data Warehousing Trends, Best Practices, and Future OutlookData Warehousing Trends, Best Practices, and Future Outlook
Data Warehousing Trends, Best Practices, and Future OutlookJames Serra
 

What's hot (20)

Dedicated Offshore Development Centers: a popular trend in outsourcing
Dedicated Offshore Development Centers: a popular trend in outsourcingDedicated Offshore Development Centers: a popular trend in outsourcing
Dedicated Offshore Development Centers: a popular trend in outsourcing
 
Microsoft Azure Active Directory
Microsoft Azure Active DirectoryMicrosoft Azure Active Directory
Microsoft Azure Active Directory
 
Azure data platform overview
Azure data platform overviewAzure data platform overview
Azure data platform overview
 
Building the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake AnalyticsBuilding the Data Lake with Azure Data Factory and Data Lake Analytics
Building the Data Lake with Azure Data Factory and Data Lake Analytics
 
SQL Server 2019 Master Data Service
SQL Server 2019 Master Data ServiceSQL Server 2019 Master Data Service
SQL Server 2019 Master Data Service
 
Data Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to MeshData Mesh Part 4 Monolith to Mesh
Data Mesh Part 4 Monolith to Mesh
 
A 30 day plan to start ending your data struggle with Snowflake
A 30 day plan to start ending your data struggle with SnowflakeA 30 day plan to start ending your data struggle with Snowflake
A 30 day plan to start ending your data struggle with Snowflake
 
Data Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWSData Driven Advanced Analytics using Denodo Platform on AWS
Data Driven Advanced Analytics using Denodo Platform on AWS
 
Microsoft 365
Microsoft 365Microsoft 365
Microsoft 365
 
Assessing Your Company's Cloud Readiness
Assessing Your Company's Cloud ReadinessAssessing Your Company's Cloud Readiness
Assessing Your Company's Cloud Readiness
 
Implementation and Post Go Live Managed Services
Implementation and Post Go Live Managed Services   Implementation and Post Go Live Managed Services
Implementation and Post Go Live Managed Services
 
Understanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application QualityUnderstanding DataOps and Its Impact on Application Quality
Understanding DataOps and Its Impact on Application Quality
 
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
Denodo Data Virtualization Platform: Overview (session 1 from Architect to Ar...
 
Cloud Migration: Cloud Readiness Assessment Case Study
Cloud Migration: Cloud Readiness Assessment Case StudyCloud Migration: Cloud Readiness Assessment Case Study
Cloud Migration: Cloud Readiness Assessment Case Study
 
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data PipelinesPutting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
Putting the Ops in DataOps: Orchestrate the Flow of Data Across Data Pipelines
 
Staff Augmentation
Staff AugmentationStaff Augmentation
Staff Augmentation
 
Emerging Trends in Data Engineering
Emerging Trends in Data EngineeringEmerging Trends in Data Engineering
Emerging Trends in Data Engineering
 
Screw DevOps, Let's Talk DataOps
Screw DevOps, Let's Talk DataOpsScrew DevOps, Let's Talk DataOps
Screw DevOps, Let's Talk DataOps
 
Data Warehousing Trends, Best Practices, and Future Outlook
Data Warehousing Trends, Best Practices, and Future OutlookData Warehousing Trends, Best Practices, and Future Outlook
Data Warehousing Trends, Best Practices, and Future Outlook
 
Cloud Strategy First
 Cloud Strategy First Cloud Strategy First
Cloud Strategy First
 

Viewers also liked

How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?James Serra
 
Implement SQL Server on an Azure VM
Implement SQL Server on an Azure VMImplement SQL Server on an Azure VM
Implement SQL Server on an Azure VMJames Serra
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseJames Serra
 
Introduction to PolyBase
Introduction to PolyBaseIntroduction to PolyBase
Introduction to PolyBaseJames Serra
 
Big Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesBig Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesJames Serra
 
Benefits of the Azure cloud
Benefits of the Azure cloudBenefits of the Azure cloud
Benefits of the Azure cloudJames Serra
 
Azure Stream Analytics
Azure Stream AnalyticsAzure Stream Analytics
Azure Stream AnalyticsJames Serra
 
Relational databases vs Non-relational databases
Relational databases vs Non-relational databasesRelational databases vs Non-relational databases
Relational databases vs Non-relational databasesJames Serra
 
Should I move my database to the cloud?
Should I move my database to the cloud?Should I move my database to the cloud?
Should I move my database to the cloud?James Serra
 
Overview on Azure Machine Learning
Overview on Azure Machine LearningOverview on Azure Machine Learning
Overview on Azure Machine LearningJames Serra
 
Cortana Analytics Suite
Cortana Analytics SuiteCortana Analytics Suite
Cortana Analytics SuiteJames Serra
 
HA/DR options with SQL Server in Azure and hybrid
HA/DR options with SQL Server in Azure and hybridHA/DR options with SQL Server in Azure and hybrid
HA/DR options with SQL Server in Azure and hybridJames Serra
 
Choosing technologies for a big data solution in the cloud
Choosing technologies for a big data solution in the cloudChoosing technologies for a big data solution in the cloud
Choosing technologies for a big data solution in the cloudJames Serra
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategyJames Serra
 
Introducing DocumentDB
Introducing DocumentDB Introducing DocumentDB
Introducing DocumentDB James Serra
 
What's new in SQL Server 2016
What's new in SQL Server 2016What's new in SQL Server 2016
What's new in SQL Server 2016James Serra
 
Introduction to Microsoft’s Hadoop solution (HDInsight)
Introduction to Microsoft’s Hadoop solution (HDInsight)Introduction to Microsoft’s Hadoop solution (HDInsight)
Introduction to Microsoft’s Hadoop solution (HDInsight)James Serra
 
Modern Data Warehousing with the Microsoft Analytics Platform System
Modern Data Warehousing with the Microsoft Analytics Platform SystemModern Data Warehousing with the Microsoft Analytics Platform System
Modern Data Warehousing with the Microsoft Analytics Platform SystemJames Serra
 
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureBuilding an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureJames Serra
 
Overview of Microsoft Appliances: Scaling SQL Server to Hundreds of Terabytes
Overview of Microsoft Appliances: Scaling SQL Server to Hundreds of TerabytesOverview of Microsoft Appliances: Scaling SQL Server to Hundreds of Terabytes
Overview of Microsoft Appliances: Scaling SQL Server to Hundreds of TerabytesJames Serra
 

Viewers also liked (20)

How does Microsoft solve Big Data?
How does Microsoft solve Big Data?How does Microsoft solve Big Data?
How does Microsoft solve Big Data?
 
Implement SQL Server on an Azure VM
Implement SQL Server on an Azure VMImplement SQL Server on an Azure VM
Implement SQL Server on an Azure VM
 
Introducing Azure SQL Data Warehouse
Introducing Azure SQL Data WarehouseIntroducing Azure SQL Data Warehouse
Introducing Azure SQL Data Warehouse
 
Introduction to PolyBase
Introduction to PolyBaseIntroduction to PolyBase
Introduction to PolyBase
 
Big Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesBig Data: It’s all about the Use Cases
Big Data: It’s all about the Use Cases
 
Benefits of the Azure cloud
Benefits of the Azure cloudBenefits of the Azure cloud
Benefits of the Azure cloud
 
Azure Stream Analytics
Azure Stream AnalyticsAzure Stream Analytics
Azure Stream Analytics
 
Relational databases vs Non-relational databases
Relational databases vs Non-relational databasesRelational databases vs Non-relational databases
Relational databases vs Non-relational databases
 
Should I move my database to the cloud?
Should I move my database to the cloud?Should I move my database to the cloud?
Should I move my database to the cloud?
 
Overview on Azure Machine Learning
Overview on Azure Machine LearningOverview on Azure Machine Learning
Overview on Azure Machine Learning
 
Cortana Analytics Suite
Cortana Analytics SuiteCortana Analytics Suite
Cortana Analytics Suite
 
HA/DR options with SQL Server in Azure and hybrid
HA/DR options with SQL Server in Azure and hybridHA/DR options with SQL Server in Azure and hybrid
HA/DR options with SQL Server in Azure and hybrid
 
Choosing technologies for a big data solution in the cloud
Choosing technologies for a big data solution in the cloudChoosing technologies for a big data solution in the cloud
Choosing technologies for a big data solution in the cloud
 
Microsoft cloud big data strategy
Microsoft cloud big data strategyMicrosoft cloud big data strategy
Microsoft cloud big data strategy
 
Introducing DocumentDB
Introducing DocumentDB Introducing DocumentDB
Introducing DocumentDB
 
What's new in SQL Server 2016
What's new in SQL Server 2016What's new in SQL Server 2016
What's new in SQL Server 2016
 
Introduction to Microsoft’s Hadoop solution (HDInsight)
Introduction to Microsoft’s Hadoop solution (HDInsight)Introduction to Microsoft’s Hadoop solution (HDInsight)
Introduction to Microsoft’s Hadoop solution (HDInsight)
 
Modern Data Warehousing with the Microsoft Analytics Platform System
Modern Data Warehousing with the Microsoft Analytics Platform SystemModern Data Warehousing with the Microsoft Analytics Platform System
Modern Data Warehousing with the Microsoft Analytics Platform System
 
Building an Effective Data Warehouse Architecture
Building an Effective Data Warehouse ArchitectureBuilding an Effective Data Warehouse Architecture
Building an Effective Data Warehouse Architecture
 
Overview of Microsoft Appliances: Scaling SQL Server to Hundreds of Terabytes
Overview of Microsoft Appliances: Scaling SQL Server to Hundreds of TerabytesOverview of Microsoft Appliances: Scaling SQL Server to Hundreds of Terabytes
Overview of Microsoft Appliances: Scaling SQL Server to Hundreds of Terabytes
 

Similar to What is it like to work at Microsoft?

Digiday Career Fair May 20th, 2016
Digiday Career Fair May 20th, 2016Digiday Career Fair May 20th, 2016
Digiday Career Fair May 20th, 2016Digiday
 
A tale of two startups
A tale of two startupsA tale of two startups
A tale of two startupsBenjamin Joffe
 
Personal Branding in a Job Search by Greg David of Gregory Laka and Company
Personal Branding in a Job Search by Greg David of Gregory Laka and CompanyPersonal Branding in a Job Search by Greg David of Gregory Laka and Company
Personal Branding in a Job Search by Greg David of Gregory Laka and CompanyGreg David
 
Be the Captain of Your Career
Be the Captain of Your Career Be the Captain of Your Career
Be the Captain of Your Career Jack Molisani
 
Inbound Marketing Conference 2016 Summary
Inbound Marketing Conference 2016 SummaryInbound Marketing Conference 2016 Summary
Inbound Marketing Conference 2016 SummaryJimmy Smith
 
Learning Insights for the New Year [WEBINAR]
Learning Insights for the New Year [WEBINAR]Learning Insights for the New Year [WEBINAR]
Learning Insights for the New Year [WEBINAR]Kineo
 
NUS-ISS Learning Day 2019-Leading digital product team with business team model
NUS-ISS Learning Day 2019-Leading digital product team with business team modelNUS-ISS Learning Day 2019-Leading digital product team with business team model
NUS-ISS Learning Day 2019-Leading digital product team with business team modelNUS-ISS
 
Learning from Product Failure to Achieve New Product Success
Learning from Product Failure to Achieve New Product SuccessLearning from Product Failure to Achieve New Product Success
Learning from Product Failure to Achieve New Product SuccessCarlton Nettleton
 
Building a Powerful Small Business Website
Building a Powerful Small Business WebsiteBuilding a Powerful Small Business Website
Building a Powerful Small Business WebsiteReal Time Web Marketing
 
How Clients think: From SMB to Enterprise
How Clients think: From SMB to EnterpriseHow Clients think: From SMB to Enterprise
How Clients think: From SMB to EnterpriseRobin Leonard
 
Career development ideas
Career development ideasCareer development ideas
Career development ideasamjadbukhari615
 
Usability and Form Design - University of Calgary
Usability and Form Design - University of CalgaryUsability and Form Design - University of Calgary
Usability and Form Design - University of CalgaryJohn Hutchings
 
Becoming a developer getting started (3:23)
Becoming a developer   getting started (3:23)Becoming a developer   getting started (3:23)
Becoming a developer getting started (3:23)Thinkful
 
How to Build a Powerful Small Business Website
How to Build a Powerful Small Business WebsiteHow to Build a Powerful Small Business Website
How to Build a Powerful Small Business WebsiteReal Time Web Marketing
 
Get the facts how multitasking is hurting your business
Get the facts   how multitasking is hurting your businessGet the facts   how multitasking is hurting your business
Get the facts how multitasking is hurting your businessSmart Simple Marketing
 
Managing Your Digital Footprint
Managing Your Digital FootprintManaging Your Digital Footprint
Managing Your Digital FootprintDigital Visitor
 
Lessons Learned: Confessions of a Project Manager - Volume 1
Lessons Learned: Confessions of a Project Manager - Volume 1Lessons Learned: Confessions of a Project Manager - Volume 1
Lessons Learned: Confessions of a Project Manager - Volume 1Rick A. Morris, PMP, CHBC
 
Landing your Dream Job in Tech
Landing your Dream Job in TechLanding your Dream Job in Tech
Landing your Dream Job in Techmairna_rakhlin
 
Office Dev Con 09 After Deployment
Office Dev Con 09   After DeploymentOffice Dev Con 09   After Deployment
Office Dev Con 09 After DeploymentPaul Woods
 

Similar to What is it like to work at Microsoft? (20)

Digiday Career Fair May 20th, 2016
Digiday Career Fair May 20th, 2016Digiday Career Fair May 20th, 2016
Digiday Career Fair May 20th, 2016
 
A tale of two startups
A tale of two startupsA tale of two startups
A tale of two startups
 
Wingify story
Wingify storyWingify story
Wingify story
 
Personal Branding in a Job Search by Greg David of Gregory Laka and Company
Personal Branding in a Job Search by Greg David of Gregory Laka and CompanyPersonal Branding in a Job Search by Greg David of Gregory Laka and Company
Personal Branding in a Job Search by Greg David of Gregory Laka and Company
 
Be the Captain of Your Career
Be the Captain of Your Career Be the Captain of Your Career
Be the Captain of Your Career
 
Inbound Marketing Conference 2016 Summary
Inbound Marketing Conference 2016 SummaryInbound Marketing Conference 2016 Summary
Inbound Marketing Conference 2016 Summary
 
Learning Insights for the New Year [WEBINAR]
Learning Insights for the New Year [WEBINAR]Learning Insights for the New Year [WEBINAR]
Learning Insights for the New Year [WEBINAR]
 
NUS-ISS Learning Day 2019-Leading digital product team with business team model
NUS-ISS Learning Day 2019-Leading digital product team with business team modelNUS-ISS Learning Day 2019-Leading digital product team with business team model
NUS-ISS Learning Day 2019-Leading digital product team with business team model
 
Learning from Product Failure to Achieve New Product Success
Learning from Product Failure to Achieve New Product SuccessLearning from Product Failure to Achieve New Product Success
Learning from Product Failure to Achieve New Product Success
 
Building a Powerful Small Business Website
Building a Powerful Small Business WebsiteBuilding a Powerful Small Business Website
Building a Powerful Small Business Website
 
How Clients think: From SMB to Enterprise
How Clients think: From SMB to EnterpriseHow Clients think: From SMB to Enterprise
How Clients think: From SMB to Enterprise
 
Career development ideas
Career development ideasCareer development ideas
Career development ideas
 
Usability and Form Design - University of Calgary
Usability and Form Design - University of CalgaryUsability and Form Design - University of Calgary
Usability and Form Design - University of Calgary
 
Becoming a developer getting started (3:23)
Becoming a developer   getting started (3:23)Becoming a developer   getting started (3:23)
Becoming a developer getting started (3:23)
 
How to Build a Powerful Small Business Website
How to Build a Powerful Small Business WebsiteHow to Build a Powerful Small Business Website
How to Build a Powerful Small Business Website
 
Get the facts how multitasking is hurting your business
Get the facts   how multitasking is hurting your businessGet the facts   how multitasking is hurting your business
Get the facts how multitasking is hurting your business
 
Managing Your Digital Footprint
Managing Your Digital FootprintManaging Your Digital Footprint
Managing Your Digital Footprint
 
Lessons Learned: Confessions of a Project Manager - Volume 1
Lessons Learned: Confessions of a Project Manager - Volume 1Lessons Learned: Confessions of a Project Manager - Volume 1
Lessons Learned: Confessions of a Project Manager - Volume 1
 
Landing your Dream Job in Tech
Landing your Dream Job in TechLanding your Dream Job in Tech
Landing your Dream Job in Tech
 
Office Dev Con 09 After Deployment
Office Dev Con 09   After DeploymentOffice Dev Con 09   After Deployment
Office Dev Con 09 After Deployment
 

More from James Serra

Microsoft Fabric Introduction
Microsoft Fabric IntroductionMicrosoft Fabric Introduction
Microsoft Fabric IntroductionJames Serra
 
Data Lakehouse, Data Mesh, and Data Fabric (r2)
Data Lakehouse, Data Mesh, and Data Fabric (r2)Data Lakehouse, Data Mesh, and Data Fabric (r2)
Data Lakehouse, Data Mesh, and Data Fabric (r2)James Serra
 
Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)James Serra
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)James Serra
 
Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)James Serra
 
Data Lake Overview
Data Lake OverviewData Lake Overview
Data Lake OverviewJames Serra
 
Power BI Overview, Deployment and Governance
Power BI Overview, Deployment and GovernancePower BI Overview, Deployment and Governance
Power BI Overview, Deployment and GovernanceJames Serra
 
Power BI Overview
Power BI OverviewPower BI Overview
Power BI OverviewJames Serra
 
Machine Learning and AI
Machine Learning and AIMachine Learning and AI
Machine Learning and AIJames Serra
 
Building a modern data warehouse
Building a modern data warehouseBuilding a modern data warehouse
Building a modern data warehouseJames Serra
 
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...James Serra
 
Power BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsPower BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsJames Serra
 
How to build your career
How to build your careerHow to build your career
How to build your careerJames Serra
 
Is the traditional data warehouse dead?
Is the traditional data warehouse dead?Is the traditional data warehouse dead?
Is the traditional data warehouse dead?James Serra
 
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionDifferentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionJames Serra
 
Introduction to Azure Databricks
Introduction to Azure DatabricksIntroduction to Azure Databricks
Introduction to Azure DatabricksJames Serra
 
Azure SQL Database Managed Instance
Azure SQL Database Managed InstanceAzure SQL Database Managed Instance
Azure SQL Database Managed InstanceJames Serra
 
What’s new in SQL Server 2017
What’s new in SQL Server 2017What’s new in SQL Server 2017
What’s new in SQL Server 2017James Serra
 
Microsoft Data Platform - What's included
Microsoft Data Platform - What's includedMicrosoft Data Platform - What's included
Microsoft Data Platform - What's includedJames Serra
 
Learning to present and becoming good at it
Learning to present and becoming good at itLearning to present and becoming good at it
Learning to present and becoming good at itJames Serra
 

More from James Serra (20)

Microsoft Fabric Introduction
Microsoft Fabric IntroductionMicrosoft Fabric Introduction
Microsoft Fabric Introduction
 
Data Lakehouse, Data Mesh, and Data Fabric (r2)
Data Lakehouse, Data Mesh, and Data Fabric (r2)Data Lakehouse, Data Mesh, and Data Fabric (r2)
Data Lakehouse, Data Mesh, and Data Fabric (r2)
 
Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)Data Lakehouse, Data Mesh, and Data Fabric (r1)
Data Lakehouse, Data Mesh, and Data Fabric (r1)
 
Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)Azure Synapse Analytics Overview (r2)
Azure Synapse Analytics Overview (r2)
 
Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)Azure Synapse Analytics Overview (r1)
Azure Synapse Analytics Overview (r1)
 
Data Lake Overview
Data Lake OverviewData Lake Overview
Data Lake Overview
 
Power BI Overview, Deployment and Governance
Power BI Overview, Deployment and GovernancePower BI Overview, Deployment and Governance
Power BI Overview, Deployment and Governance
 
Power BI Overview
Power BI OverviewPower BI Overview
Power BI Overview
 
Machine Learning and AI
Machine Learning and AIMachine Learning and AI
Machine Learning and AI
 
Building a modern data warehouse
Building a modern data warehouseBuilding a modern data warehouse
Building a modern data warehouse
 
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
AI for an intelligent cloud and intelligent edge: Discover, deploy, and manag...
 
Power BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data SolutionsPower BI for Big Data and the New Look of Big Data Solutions
Power BI for Big Data and the New Look of Big Data Solutions
 
How to build your career
How to build your careerHow to build your career
How to build your career
 
Is the traditional data warehouse dead?
Is the traditional data warehouse dead?Is the traditional data warehouse dead?
Is the traditional data warehouse dead?
 
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solutionDifferentiate Big Data vs Data Warehouse use cases for a cloud solution
Differentiate Big Data vs Data Warehouse use cases for a cloud solution
 
Introduction to Azure Databricks
Introduction to Azure DatabricksIntroduction to Azure Databricks
Introduction to Azure Databricks
 
Azure SQL Database Managed Instance
Azure SQL Database Managed InstanceAzure SQL Database Managed Instance
Azure SQL Database Managed Instance
 
What’s new in SQL Server 2017
What’s new in SQL Server 2017What’s new in SQL Server 2017
What’s new in SQL Server 2017
 
Microsoft Data Platform - What's included
Microsoft Data Platform - What's includedMicrosoft Data Platform - What's included
Microsoft Data Platform - What's included
 
Learning to present and becoming good at it
Learning to present and becoming good at itLearning to present and becoming good at it
Learning to present and becoming good at it
 

Recently uploaded

UIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 UpdateUIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 UpdateUniversity of Iowa
 
Guide to a Winning Interview May 2024 for MCWN
Guide to a Winning Interview May 2024 for MCWNGuide to a Winning Interview May 2024 for MCWN
Guide to a Winning Interview May 2024 for MCWNBruce Bennett
 
K Venkat Naveen Kumar | GCP Data Engineer | CV
K Venkat Naveen Kumar | GCP Data Engineer | CVK Venkat Naveen Kumar | GCP Data Engineer | CV
K Venkat Naveen Kumar | GCP Data Engineer | CVK VENKAT NAVEEN KUMAR
 
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...ruksarkahn825
 
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...gajnagarg
 
Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...
Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...
Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...HyderabadDolls
 
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...nirzagarg
 
7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabad
7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabad7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabad
7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabadgargpaaro
 
Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...
Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...
Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...nirzagarg
 
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...gajnagarg
 
DMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdf
DMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdfDMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdf
DMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdfReemaKhan31
 
Call Girls In GOA North Goa +91-8588052666 Direct Cash Escorts Service
Call Girls In GOA North Goa +91-8588052666 Direct Cash Escorts ServiceCall Girls In GOA North Goa +91-8588052666 Direct Cash Escorts Service
Call Girls In GOA North Goa +91-8588052666 Direct Cash Escorts Servicenishakur201
 
Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...
Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...
Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...ZurliaSoop
 
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...gajnagarg
 
We’re looking for a Technology consultant to join our Team!
We’re looking for a Technology consultant to join our Team!We’re looking for a Technology consultant to join our Team!
We’re looking for a Technology consultant to join our Team!Juli Boned
 
👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...
👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...
👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...vershagrag
 
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...gajnagarg
 
Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...
Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...
Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...Sareena Khatun
 
Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...
Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...
Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...vershagrag
 

Recently uploaded (20)

UIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 UpdateUIowa Application Instructions - 2024 Update
UIowa Application Instructions - 2024 Update
 
Guide to a Winning Interview May 2024 for MCWN
Guide to a Winning Interview May 2024 for MCWNGuide to a Winning Interview May 2024 for MCWN
Guide to a Winning Interview May 2024 for MCWN
 
K Venkat Naveen Kumar | GCP Data Engineer | CV
K Venkat Naveen Kumar | GCP Data Engineer | CVK Venkat Naveen Kumar | GCP Data Engineer | CV
K Venkat Naveen Kumar | GCP Data Engineer | CV
 
Cara Gugurkan Kandungan Awal Kehamilan 1 bulan (087776558899)
Cara Gugurkan Kandungan Awal Kehamilan 1 bulan (087776558899)Cara Gugurkan Kandungan Awal Kehamilan 1 bulan (087776558899)
Cara Gugurkan Kandungan Awal Kehamilan 1 bulan (087776558899)
 
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
Dating Call Girls inTiruvallur { 9332606886 } VVIP NISHA Call Girls Near 5 St...
 
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Hubli [ 7014168258 ] Call Me For Genuine Models We ...
 
Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...
Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...
Howrah [ Call Girls Kolkata ₹7.5k Pick Up & Drop With Cash Payment 8005736733...
 
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In Sagar [ 7014168258 ] Call Me For Genuine Models We ...
 
7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabad
7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabad7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabad
7737669865 Call Girls In Ahmedabad Escort Service Available 24×7 In In Ahmedabad
 
Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...
Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...
Top profile Call Girls In Belgaum [ 7014168258 ] Call Me For Genuine Models W...
 
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
Top profile Call Girls In Anantapur [ 7014168258 ] Call Me For Genuine Models...
 
DMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdf
DMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdfDMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdf
DMER-AYUSH-MIMS-Staff-Nurse-_Selection-List-04-05-2024.pdf
 
Call Girls In GOA North Goa +91-8588052666 Direct Cash Escorts Service
Call Girls In GOA North Goa +91-8588052666 Direct Cash Escorts ServiceCall Girls In GOA North Goa +91-8588052666 Direct Cash Escorts Service
Call Girls In GOA North Goa +91-8588052666 Direct Cash Escorts Service
 
Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...
Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...
Jual obat aborsi Dubai ( 085657271886 ) Cytote pil telat bulan penggugur kand...
 
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
Top profile Call Girls In daman [ 7014168258 ] Call Me For Genuine Models We ...
 
We’re looking for a Technology consultant to join our Team!
We’re looking for a Technology consultant to join our Team!We’re looking for a Technology consultant to join our Team!
We’re looking for a Technology consultant to join our Team!
 
👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...
👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...
👉 Tirunelveli Call Girls Service Just Call 🍑👄6378878445 🍑👄 Top Class Call Gir...
 
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
Top profile Call Girls In Shillong [ 7014168258 ] Call Me For Genuine Models ...
 
Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...
Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...
Call Girl Service in Ahmednagar { 9332606886 } VVIP NISHA Call Girls Near 5 S...
 
Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...
Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...
Only Cash On Delivery Call Girls Service In Amritsar 📞6378878445📞 Just📲 Call ...
 

What is it like to work at Microsoft?

  • 1. What is it like to work for Microsoft? James Serra, Big Data Evangelist Microsoft May 7-9, 2014 | San Jose, CA
  • 2. About Me  Business Intelligence Consultant, in IT for 28 years  Microsoft, Big Data Evangelist  Owner of Serra Consulting Services, specializing in end-to-end Business Intelligence and Data Warehouse solutions using the Microsoft BI stack  Worked as desktop/web/database developer, DBA, BI and DW architect and developer, MDM architect, PDW developer  Been perm, contractor, consultant, business owner  Presenter at PASS Business Analytics Conference and PASS Summit  MCSE for SQL Server 2012: Data Platform and BI  SME for SQL Server 2012 certs  Contributing writer for SQL Server Pro magazine  Blog at JamesSerra.com  SQL Server MVP  Author of book “Reporting with Microsoft SQL Server 2012”
  • 3. Agenda  My background, reasons to join  Interview process  Microsoft structure  A day in the life of my job  Internal job opportunities  Salary and benefits  Culture  Qualities needed  Internal resources  In closing
  • 4. It all started when a friend of mine at Microsoft called and said “We have a job opening at Microsoft I think you would be good for, but it would require a move to NYC. I know it’s unlikely but any chance you would consider?” 17 days later I was a Microsoft employee
  • 5. My background and reasons to join • My work history and how it helped me get hired • Research the position • Job description • Reasons to join • Job location • Family situation • Job details • Career paths • Tired of project work • It’s Microsoft! • Concerns: income, keeping up technical skills, sales, corporate world
  • 6. Interview process • Recruiter • Phone interviews • In-person interviews • Offer • Time to start learning: Drinking from the fire hose • Into the fire You will feel this way for the first 6 months…
  • 7. I hope I don’t end up like this…
  • 8. But I ended up more like this…
  • 9. Microsoft structure • Incubation • Districts/Field • Sales and services • Geography • Job descriptions • Partners, MCS • MTC
  • 10. A day in the life of my job • Small business within Microsoft • Work from home with travel to clients • No time tracking – you are in charge of your own time • Set your own priorities • Time spent each day: • Presentations with customers – 25% • Customer calls – 25% • Internal meetings, internal sales calls, conferences, training, career path – 20% • Travel – 10% • POCs/customer demos – 10% • Learning – 10% to forever
  • 11. Internal job opportunities • Career guidance/Connect: Manager helps you leave his group • Mentors • Switching jobs • Create your own job • Client-facing vs internal Microsoft IT
  • 12. Salary and Benefits • PTO, Medical, 401k • Stay fit • Laptop and toys • Tuition assistance • AmEx card • Quotas • Yearly review/bonus • Pulse survey • Charity – Microsoft employees raised $142 million in 2016 in support of 19k nonprofits and schools. Since 1983 provided $8.5 billion in cash, services and software to nonprofits around the world
  • 13. Culture (from a 17-year Microsoft veteran) Good • Entrepreneurial spirit • Generally hard working, generally try to do the right thing, not perfect • Truly believe we can use technology to improve people’s lives and work • Very self critical / always looking to improve / MS Poll – we take it seriously • N-1 model… if the job needs 5 people, we’ll hire 4 and let them figure it out • Frugal (Weenies, not Shrimp – see attached..) • Very serious about diversity, both in physical characteristics as well as thought • Dogfooding! Always latest tech, everyone’s an admin on their box, can rebuild at will, etc Bad • Meetings to prepare for meetings about meetings • Corporate politics, just like any other large companies • Corporate Buzzword bingo! (“all in”, “all up”, “lean in”, “pivot”, “net net”… ugh!) • Cannibalizing • Left hand does not know what the right hand is doing • Dogfooding! (can be a little unstable) Ugly • Quarterly/Fiscal results focus can make us do stupid things (common in public companies) • Dogfooding! (damn the torpedoes! Full speed ahead with the latest win 10 build!)
  • 14. Qualities needed • Solid background • Ability to learn quick • Customer-facing skills • Love to learn • Disciplined, trustworthy, self-motivator, go-getter, work on own, flexible • Not easily overwhelmed • Not a clock puncher • Drink the Kool-Aid • Be comfortable being uncomfortable • Don’t need structure or micro-managing • Avoid being too consumed Don’t sit still…
  • 15. Internal Resources • Lots of sharp people • Finding the people • Internal videos (academy), white papers, documents, competitor info • TechReady, S4 • Microsoft Elite - Dogfood • Field alerts, NDA web conferences • Ask!
  • 16. Testimonial When I joined Microsoft almost nine years ago, I couldn’t have imagined the lessons I’d learn. When I left silicon valley, my colleagues at the time were dubious. Microsoft seemed to them an incomprehensible place--a relic of the PC world. They would ask, what do they have besides Windows and Office? Looking back, I would answer the curious: Where else can you see some of the best technology and business minds, working side by side? Startups may sell to the first 100 customers in a limited sphere, but Microsoft gives you the global picture. You have a chance to touch the entire world. Where else can you work on products used in the far reaches of the planet, go to an international subsidiary and work in a different country, then come back and work with the finest database minds on the planet? When my kids would tell their friends, “My dad works at Microsoft,” it meant something even to their limited experience. What makes Microsoft special? It has the brightest business minds in the world: Where else can you grow a multi-billion dollar business double digits year over year. It has the brightest engineers in the world: Where else can you run software used by every business in the world. There are lessons here you can only learn at a place like Microsoft, and could never imagine at a startup. How many multi-national software companies are there with the number of real thriving businesses found here? Not many. Now, it feels like every week I hear from someone new, “I like what I see Microsoft doing.. it’s amazing what’s happened in the last year.” 16
  • 17. In closing • Concerns?: income, keeping up technical skills, sales, corporate world • Be aware of shiny objects! • We are all selling • Promote yourself • Your success depends on how hard you want to work • Make tons of contacts • Tons of career opportunities Bottom line…best company I have ever worked for!
  • 18. Resources • Why I just became a Microsoft employee http://bit.ly/1IG8unT
  • 19. Q & A ? James Serra, Big Data Evangelist Email me at: JamesSerra3@gmail.com Follow me at: @JamesSerra Link to me at: www.linkedin.com/in/JamesSerra Visit my blog at: JamesSerra.com (where this slide deck will be posted)

Editor's Notes

  1. James has worked at Microsoft for the past year. Before that, he was an independent consultant as well as having worked as a permanent employee and contractor and numerous companies. What is different about Microsoft? What is it like to see how things work “behind the curtain”? How does it compare to what he anticipated it to be like? Come join this session to find out more working for Microsoft: benefits, compensation, training, career advancement, work-life balance, travel, types of jobs, etc. We will leave plenty of time to ask questions!
  2. Fluff, but point is I bring real work experience to the session
  3. Acronyms, small business within Microsoft, creating your own jobs, TechReady/S4, incubation & field/district, managers don’t manage people, MTC, speaking at PASS, mentor, internal product info, PG and marketing and pre-sales and services (MCS), partners, career growth, work from home, we are all selling products, customer-facing, travel, quotas, coding, hours and feeling overwhelmed, “levels”, your success depends on how hard you want to work, some MS people arrogant, AmEx card, travel budget, making contacts, architect and CTO roles, working for Microsoft IT vs clients, got rid of stack system, great DL’s, pulse champ, MSPoll, constant learning, (No time tracking, invoicing, delayed payment, status reports, paying for travel), drink the koolaid. Self-promotion or promoting your work, Connect, flexible hours, drinking from the firehose, don’t have to worry about finishing a project – no stress and don’t feel like always have sometime to do, everyone is sharp, all-consuming, academy (videos), culture is you are empowered to do anything you feel will make Microsoft better, field alerts College intern, MSSA, MACH, charity, you sign up for a lot of hours – all consuming
  4. PG and marketing and pre-sales and services (MCS) College intern, MSSA, MACH
  5. TechReady/S4 culture is you are empowered to do anything you feel will make Microsoft better
  6. , architect and CTO roles working for Microsoft IT vs clients
  7. CBI & RBI Charity: over a billion, 17 per hour working for charity Microsoft employees are among the most generous in the world.  You gave a record-breaking $117 million in 2014!
  8. CBI & RBI